Data Engineer
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Job Location:
Charlotte, VT - USA
Monthly Salary:
Not Disclosed
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
Role Description
Our client is in the process of leading a Digital Transformation across their Americas Division as they continue to modernize their technology focus on their data-driven approach grow and plan for the future. As a result of this expansion they are seeking experienced software Data engineers with extensive years of relevant experience to support the design and development of a strategic data platform for their Capital Markets and Securities Group.
Role Objectives
These roles will be part of the Data Strategy team spanning across the Capital Markets and securities teams their Americas Divisions broker-dealer and swap-dealer entities.
These roles will be involved in the active development of the data platform in close coordination with the team beginning with the establishment of a reference data system for securities and pricing data and later moving to other data domains.
The consulting team will need to follow internal developments standards to contribute to the overall agenda of the Data Strategy team.
The implementation of this strategic platform on their Azure Cloud Platform will require solutions and know-how as listed in the qualifications below.
Qualifications and Skills
Proven experience as a Data Engineer with experience in Azure cloud.
Experience implementing solutions using -
Azure cloud services
Azure Data Factory
Azure Lake Gen 2
Azure Databases
Azure Data Fabric
API Gateway management
Azure Functions
Well versed with Azure Databricks
Strong SQL skills with RDMS or noSQL databases
Experience with developing APIs using FastAPI or similar frameworks in Python
Familiarity with the DevOps lifecycle (git Jenkins etc.) CI/CD processes
Good understanding of ETL/ELT processes
Experience in financial services industry financial instruments asset classes and market data are a plus
Our client is in the process of leading a Digital Transformation across their Americas Division as they continue to modernize their technology focus on their data-driven approach grow and plan for the future. As a result of this expansion they are seeking experienced software Data engineers with extensive years of relevant experience to support the design and development of a strategic data platform for their Capital Markets and Securities Group.
Role Objectives
These roles will be part of the Data Strategy team spanning across the Capital Markets and securities teams their Americas Divisions broker-dealer and swap-dealer entities.
These roles will be involved in the active development of the data platform in close coordination with the team beginning with the establishment of a reference data system for securities and pricing data and later moving to other data domains.
The consulting team will need to follow internal developments standards to contribute to the overall agenda of the Data Strategy team.
The implementation of this strategic platform on their Azure Cloud Platform will require solutions and know-how as listed in the qualifications below.
Qualifications and Skills
Proven experience as a Data Engineer with experience in Azure cloud.
Experience implementing solutions using -
Azure cloud services
Azure Data Factory
Azure Lake Gen 2
Azure Databases
Azure Data Fabric
API Gateway management
Azure Functions
Well versed with Azure Databricks
Strong SQL skills with RDMS or noSQL databases
Experience with developing APIs using FastAPI or similar frameworks in Python
Familiarity with the DevOps lifecycle (git Jenkins etc.) CI/CD processes
Good understanding of ETL/ELT processes
Experience in financial services industry financial instruments asset classes and market data are a plus
| Skill Area | Your experience in Years |
| Azure Cloud Data Engineering | |
| Azure Databricks & PySpark | |
| Advanced SQL (RDBMS NoSQL) | |
| Python API Engineering (FastAPI) | |
| DevOps & CI CD |
Brandon Consulting Associates Inc. is an EQUAL OPPORTUNITY EMPLOYER and has been in business for 29years.
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
